QUANTITATIVE CONSULTANT FRANKFURT

Management Solutions, S.L; Frankfurt; Vor Ort; EUR 40.000 - 80.000; Vollzeit

Zusammenfassung

An innovative consulting firm is seeking a Quantitative Consultant to join their dynamic team in Frankfurt. This role offers the opportunity to work on high-profile projects across banking, insurance, and telecommunications. You will develop and validate models, engage in R&D projects, and collaborate with industry leaders to tackle national and global challenges. With a strong commitment to staff development, the company invests significantly in training and career advancement, ensuring you have the best environment to grow your talents. If you're a proactive and analytical thinker eager to make an impact, this opportunity is perfect for you.

Leistungen

Ongoing training and development

Participation in high-profile projects

Collaboration with industry leaders

Strong corporate culture and values

Internal promotion based on merit

Qualifikationen

• Recent graduate or final-year student in relevant fields.
• Knowledge of statistical programming languages is desirable.
• Strong academic record and proactive attitude.

Aufgaben

• Develop regulatory and non-regulatory models in various sectors.
• Review and validate models in risk and finance.
• Provide mathematical support to business projects.

Kenntnisse

Statistical Programming (Python)

Statistical Programming (R)

Statistical Programming (SAS)

Statistical Programming (Matlab)

Modeling Techniques (Logit)

Modeling Techniques (Decision Trees)

Modeling Techniques (Clustering)

Data Analytics

Quantitative Finance

Ausbildung

Degree in Econometrics

Degree in Mathematics

Degree in Statistics

Degree in Engineering

Degree in Data Analytics

Tools

AWS

Azure

Google Cloud

Jobbeschreibung

Germany QUANTITATIVE CONSULTANT FRANKFURT Frankfurt / Graduate / Number of vacancies : 5

• Development of regulatory and non-regulatory models (e.g., regression models, classification models, time series, Monte Carlo simulations) in banking, insurance, energy, and telecommunications
• Review and validation of models in risk, finance, and other areas
• Statistical data processing
• Mathematical support to the business: developing algorithms, statistical, and probability models
• Research and Development (R&D) projects

Requirements

• Recent graduate or final-year student in Econometrics, Mathematics, Statistics, Engineering, Data Analytics, Business Administration, Mathematical Finance, Quantitative Methods, Financial Mathematics, Physics, etc.
• Knowledge of modeling techniques (logit, decision trees, clustering) and statistical programming languages (Python, R, SAS, Matlab) is desirable.
• Strong academic record.
• Postgraduate studies or specialized courses in Data Analytics, Quantitative Finance, or related fields are an asset.
• Knowledge of other languages, Big Data tools, and cloud services (AWS, Azure, Google Cloud) is a plus.
• Proactive attitude, maturity, responsibility, and strong work ethic.
• Quick learner with the ability to integrate into multidisciplinary teams.
• Strong computer skills.

We Offer

The best environment to develop your talent:

• Participation in high-profile consulting projects for leading companies
• Collaboration with top industry management on national and global challenges
• Part of a professional team with a strong corporate culture and values

Ongoing training, with approximately 10% of business turnover invested in staff development, including:

• Specialist knowledge courses, external expert courses, professional skills, and language courses
• Over 250,000 hours of training across more than 575 courses last year

Career Development

• Internal promotion based on merit
• Partnership-based management model offering opportunities to become a partner

Additional Experiences

• Strong ties with prestigious universities
• Community support activities
• Internal and external sports tournaments

For more information, visit: www.managementsolutions.com

We are committed to equal opportunities. All qualified applicants will be considered without discrimination based on race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or other protected characteristics.